Overview

Dataset statistics

Number of variables9
Number of observations5021
Missing cells0
Missing cells (%)0.0%
Duplicate rows256
Duplicate rows (%)5.1%
Total size in memory353.2 KiB
Average record size in memory72.0 B

Variable types

Text7
Categorical2

Dataset

Description2021.04.29일자 사업장폐기물 신고현황입니다. 사업장등록현황 및 전화번호는 제외하고 사업장명, 사업장주소, 폐기물구분, 폐기물처리방법 등을 공개합니다
Author강원도 철원군
URLhttps://www.data.go.kr/data/15081084/fileData.do

Alerts

Dataset has 256 (5.1%) duplicate rowsDuplicates
처리방법 is highly overall correlated with 업무구분High correlation
업무구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly imbalanced (75.1%)Imbalance
업무구분 is highly imbalanced (67.3%)Imbalance

Reproduction

Analysis started2023-12-12 06:07:08.559505
Analysis finished2023-12-12 06:07:09.937167
Duration1.38 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct519
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:10.111828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length6.3561044
Min length2

Characters and Unicode

Total characters31914
Distinct characters310
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)3.2%

Sample

1st row와이비건설㈜
2nd row와이비건설㈜
3rd row와이비건설㈜
4th row와이비건설㈜
5th row와이비건설㈜
ValueCountFrequency (%)
개인 1564
29.4%
강원시설물유지관리(주 239
 
4.5%
와이비건설(주 212
 
4.0%
주)가온개발 208
 
3.9%
주)태현개발 159
 
3.0%
철원군청 158
 
3.0%
경기북부시설단 127
 
2.4%
강원주택슬레이트해체처리공사 108
 
2.0%
주)대양건설 96
 
1.8%
육군제1968부대 89
 
1.7%
Other values (574) 2356
44.3%
2023-12-12T15:07:10.566188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2041
 
6.4%
1669
 
5.2%
1611
 
5.0%
1478
 
4.6%
) 1426
 
4.5%
( 1424
 
4.5%
1127
 
3.5%
736
 
2.3%
672
 
2.1%
656
 
2.1%
Other values (300) 19074
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26456
82.9%
Decimal Number 2068
 
6.5%
Close Punctuation 1454
 
4.6%
Open Punctuation 1452
 
4.5%
Space Separator 296
 
0.9%
Other Symbol 147
 
0.5%
Dash Punctuation 18
 
0.1%
Other Punctuation 12
 
< 0.1%
Uppercase Letter 10
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2041
 
7.7%
1669
 
6.3%
1611
 
6.1%
1478
 
5.6%
1127
 
4.3%
736
 
2.8%
672
 
2.5%
656
 
2.5%
608
 
2.3%
574
 
2.2%
Other values (276) 15284
57.8%
Decimal Number
ValueCountFrequency (%)
8 319
15.4%
6 316
15.3%
0 283
13.7%
1 258
12.5%
7 241
11.7%
9 210
10.2%
3 191
9.2%
2 177
8.6%
5 67
 
3.2%
4 6
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
M 4
40.0%
J 2
20.0%
T 2
20.0%
R 2
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1426
98.1%
] 28
 
1.9%
Open Punctuation
ValueCountFrequency (%)
( 1424
98.1%
[ 28
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 11
91.7%
\ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
296
100.0%
Other Symbol
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26603
83.4%
Common 5301
 
16.6%
Latin 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2041
 
7.7%
1669
 
6.3%
1611
 
6.1%
1478
 
5.6%
1127
 
4.2%
736
 
2.8%
672
 
2.5%
656
 
2.5%
608
 
2.3%
574
 
2.2%
Other values (277) 15431
58.0%
Common
ValueCountFrequency (%)
) 1426
26.9%
( 1424
26.9%
8 319
 
6.0%
6 316
 
6.0%
296
 
5.6%
0 283
 
5.3%
1 258
 
4.9%
7 241
 
4.5%
9 210
 
4.0%
3 191
 
3.6%
Other values (9) 337
 
6.4%
Latin
ValueCountFrequency (%)
M 4
40.0%
J 2
20.0%
T 2
20.0%
R 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26456
82.9%
ASCII 5311
 
16.6%
None 147
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2041
 
7.7%
1669
 
6.3%
1611
 
6.1%
1478
 
5.6%
1127
 
4.3%
736
 
2.8%
672
 
2.5%
656
 
2.5%
608
 
2.3%
574
 
2.2%
Other values (276) 15284
57.8%
ASCII
ValueCountFrequency (%)
) 1426
26.8%
( 1424
26.8%
8 319
 
6.0%
6 316
 
5.9%
296
 
5.6%
0 283
 
5.3%
1 258
 
4.9%
7 241
 
4.5%
9 210
 
4.0%
3 191
 
3.6%
Other values (13) 347
 
6.5%
None
ValueCountFrequency (%)
147
100.0%
Distinct1036
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:10.786352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters70294
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)5.1%

Sample

1st row2021 년04 월27 일
2nd row2021 년04 월27 일
3rd row2021 년04 월27 일
4th row2021 년04 월27 일
5th row2021 년04 월27 일
ValueCountFrequency (%)
5021
25.0%
년05 863
 
4.3%
2020 692
 
3.4%
년04 602
 
3.0%
2019 573
 
2.9%
2018 553
 
2.8%
년07 521
 
2.6%
년06 502
 
2.5%
년09 500
 
2.5%
년10 484
 
2.4%
Other values (55) 9773
48.7%
2023-12-12T15:07:11.133027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15063
21.4%
0 12341
17.6%
2 8717
12.4%
1 7955
11.3%
5021
 
7.1%
5021
 
7.1%
5021
 
7.1%
5 1780
 
2.5%
9 1714
 
2.4%
7 1635
 
2.3%
Other values (4) 6026
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40168
57.1%
Space Separator 15063
 
21.4%
Other Letter 15063
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12341
30.7%
2 8717
21.7%
1 7955
19.8%
5 1780
 
4.4%
9 1714
 
4.3%
7 1635
 
4.1%
4 1631
 
4.1%
8 1584
 
3.9%
6 1436
 
3.6%
3 1375
 
3.4%
Other Letter
ValueCountFrequency (%)
5021
33.3%
5021
33.3%
5021
33.3%
Space Separator
ValueCountFrequency (%)
15063
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 55231
78.6%
Hangul 15063
 
21.4%

Most frequent character per script

Common
ValueCountFrequency (%)
15063
27.3%
0 12341
22.3%
2 8717
15.8%
1 7955
14.4%
5 1780
 
3.2%
9 1714
 
3.1%
7 1635
 
3.0%
4 1631
 
3.0%
8 1584
 
2.9%
6 1436
 
2.6%
Hangul
ValueCountFrequency (%)
5021
33.3%
5021
33.3%
5021
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55231
78.6%
Hangul 15063
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15063
27.3%
0 12341
22.3%
2 8717
15.8%
1 7955
14.4%
5 1780
 
3.2%
9 1714
 
3.1%
7 1635
 
3.0%
4 1631
 
3.0%
8 1584
 
2.9%
6 1436
 
2.6%
Hangul
ValueCountFrequency (%)
5021
33.3%
5021
33.3%
5021
33.3%
Distinct91
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:11.322301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length70
Mean length27.012149
Min length1

Characters and Unicode

Total characters135628
Distinct characters219
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.6%

Sample

1st row흩날릴 우려가 없는 폐석면
2nd row석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등
3rd row흩날릴 우려가 없는 폐석면
4th row석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등
5th row흩날릴 우려가 없는 폐석면
ValueCountFrequency (%)
2627
 
9.2%
우려가 2098
 
7.4%
흩날릴 2098
 
7.4%
없는 2045
 
7.2%
사용된 2005
 
7.1%
석면의 1745
 
6.1%
제거작업에 1745
 
6.1%
폐석면 1274
 
4.5%
모든 1148
 
4.0%
비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 1148
 
4.0%
Other values (157) 10497
36.9%
2023-12-12T15:07:11.727346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23411
 
17.3%
4643
 
3.4%
3492
 
2.6%
3492
 
2.6%
3279
 
2.4%
3278
 
2.4%
3063
 
2.3%
2918
 
2.2%
2904
 
2.1%
2561
 
1.9%
Other values (209) 82587
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 110084
81.2%
Space Separator 23411
 
17.3%
Other Punctuation 621
 
0.5%
Open Punctuation 481
 
0.4%
Close Punctuation 481
 
0.4%
Decimal Number 297
 
0.2%
Connector Punctuation 217
 
0.2%
Lowercase Letter 36
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4643
 
4.2%
3492
 
3.2%
3492
 
3.2%
3279
 
3.0%
3278
 
3.0%
3063
 
2.8%
2918
 
2.7%
2904
 
2.6%
2561
 
2.3%
2560
 
2.3%
Other values (193) 77894
70.8%
Lowercase Letter
ValueCountFrequency (%)
e 12
33.3%
s 6
16.7%
a 6
16.7%
g 6
16.7%
r 6
16.7%
Decimal Number
ValueCountFrequency (%)
1 285
96.0%
0 6
 
2.0%
2 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
· 606
97.6%
. 15
 
2.4%
Open Punctuation
ValueCountFrequency (%)
( 475
98.8%
[ 6
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 475
98.8%
] 6
 
1.2%
Space Separator
ValueCountFrequency (%)
23411
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 110084
81.2%
Common 25508
 
18.8%
Latin 36
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4643
 
4.2%
3492
 
3.2%
3492
 
3.2%
3279
 
3.0%
3278
 
3.0%
3063
 
2.8%
2918
 
2.7%
2904
 
2.6%
2561
 
2.3%
2560
 
2.3%
Other values (193) 77894
70.8%
Common
ValueCountFrequency (%)
23411
91.8%
· 606
 
2.4%
( 475
 
1.9%
) 475
 
1.9%
1 285
 
1.1%
_ 217
 
0.9%
. 15
 
0.1%
[ 6
 
< 0.1%
] 6
 
< 0.1%
0 6
 
< 0.1%
Latin
ValueCountFrequency (%)
e 12
33.3%
s 6
16.7%
a 6
16.7%
g 6
16.7%
r 6
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105441
77.7%
ASCII 24938
 
18.4%
Compat Jamo 4643
 
3.4%
None 606
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23411
93.9%
( 475
 
1.9%
) 475
 
1.9%
1 285
 
1.1%
_ 217
 
0.9%
. 15
 
0.1%
e 12
 
< 0.1%
s 6
 
< 0.1%
a 6
 
< 0.1%
[ 6
 
< 0.1%
Other values (5) 30
 
0.1%
Compat Jamo
ValueCountFrequency (%)
4643
100.0%
Hangul
ValueCountFrequency (%)
3492
 
3.3%
3492
 
3.3%
3279
 
3.1%
3278
 
3.1%
3063
 
2.9%
2918
 
2.8%
2904
 
2.8%
2561
 
2.4%
2560
 
2.4%
2437
 
2.3%
Other values (192) 75457
71.6%
None
ValueCountFrequency (%)
· 606
100.0%
Distinct265
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:12.265745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length7
Mean length7.007369
Min length1

Characters and Unicode

Total characters35184
Distinct characters225
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)2.2%

Sample

1st row(합)부흥환경
2nd row(합)부흥환경
3rd row(합)부흥환경
4th row(합)부흥환경
5th row(합)부흥환경
ValueCountFrequency (%)
하나그린(주 1612
31.9%
합)부흥환경 973
19.2%
주)네이처산업 493
 
9.7%
주)삼백건설 203
 
4.0%
주)샬롬환경 113
 
2.2%
청아산업 95
 
1.9%
주)세영씨엔에스 86
 
1.7%
대광산업 84
 
1.7%
합)그린수성 81
 
1.6%
동송산업(주 73
 
1.4%
Other values (261) 1244
24.6%
2023-12-12T15:07:12.759868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 4653
13.2%
) 4653
13.2%
3571
 
10.1%
1780
 
5.1%
1774
 
5.0%
1652
 
4.7%
1651
 
4.7%
1488
 
4.2%
1483
 
4.2%
1070
 
3.0%
Other values (215) 11409
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25724
73.1%
Open Punctuation 4653
 
13.2%
Close Punctuation 4653
 
13.2%
Space Separator 62
 
0.2%
Connector Punctuation 40
 
0.1%
Uppercase Letter 26
 
0.1%
Decimal Number 14
 
< 0.1%
Dash Punctuation 8
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3571
 
13.9%
1780
 
6.9%
1774
 
6.9%
1652
 
6.4%
1651
 
6.4%
1488
 
5.8%
1483
 
5.8%
1070
 
4.2%
999
 
3.9%
998
 
3.9%
Other values (198) 9258
36.0%
Uppercase Letter
ValueCountFrequency (%)
T 8
30.8%
E 8
30.8%
N 6
23.1%
M 2
 
7.7%
F 1
 
3.8%
R 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
3 4
28.6%
2 2
 
14.3%
6 2
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 4653
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4653
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25725
73.1%
Common 9433
 
26.8%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3571
 
13.9%
1780
 
6.9%
1774
 
6.9%
1652
 
6.4%
1651
 
6.4%
1488
 
5.8%
1483
 
5.8%
1070
 
4.2%
999
 
3.9%
998
 
3.9%
Other values (199) 9259
36.0%
Common
ValueCountFrequency (%)
( 4653
49.3%
) 4653
49.3%
62
 
0.7%
_ 40
 
0.4%
- 8
 
0.1%
1 6
 
0.1%
3 4
 
< 0.1%
. 3
 
< 0.1%
2 2
 
< 0.1%
6 2
 
< 0.1%
Latin
ValueCountFrequency (%)
T 8
30.8%
E 8
30.8%
N 6
23.1%
M 2
 
7.7%
F 1
 
3.8%
R 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25724
73.1%
ASCII 9459
 
26.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 4653
49.2%
) 4653
49.2%
62
 
0.7%
_ 40
 
0.4%
T 8
 
0.1%
- 8
 
0.1%
E 8
 
0.1%
N 6
 
0.1%
1 6
 
0.1%
3 4
 
< 0.1%
Other values (6) 11
 
0.1%
Hangul
ValueCountFrequency (%)
3571
 
13.9%
1780
 
6.9%
1774
 
6.9%
1652
 
6.4%
1651
 
6.4%
1488
 
5.8%
1483
 
5.8%
1070
 
4.2%
999
 
3.9%
998
 
3.9%
Other values (198) 9258
36.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct293
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:13.070489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length22
Mean length9.1746664
Min length1

Characters and Unicode

Total characters46066
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)2.4%

Sample

1st row(주)이앤컴퍼니구미
2nd row(주)이앤컴퍼니구미
3rd row(주)이앤컴퍼니구미
4th row(주)이앤컴퍼니구미
5th row(주)이앤컴퍼니구미
ValueCountFrequency (%)
에코시스템(주)구미 946
18.8%
주)티에스케이이엔이 785
15.6%
아세아테크(주 722
14.3%
주)이앤컴퍼니구미지점 274
 
5.4%
주)센트로 224
 
4.4%
도시환경(주 136
 
2.7%
주)이에스지 111
 
2.2%
주)진흥중공업 97
 
1.9%
주)미래산업개발 87
 
1.7%
주)유니큰 86
 
1.7%
Other values (285) 1568
31.1%
2023-12-12T15:07:13.578760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 4946
 
10.7%
( 4943
 
10.7%
4909
 
10.7%
3551
 
7.7%
2206
 
4.8%
2184
 
4.7%
1682
 
3.7%
1440
 
3.1%
1325
 
2.9%
1291
 
2.8%
Other values (213) 17589
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36071
78.3%
Close Punctuation 4946
 
10.7%
Open Punctuation 4943
 
10.7%
Connector Punctuation 36
 
0.1%
Space Separator 25
 
0.1%
Other Punctuation 25
 
0.1%
Uppercase Letter 14
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4909
 
13.6%
3551
 
9.8%
2206
 
6.1%
2184
 
6.1%
1682
 
4.7%
1440
 
4.0%
1325
 
3.7%
1291
 
3.6%
1175
 
3.3%
1014
 
2.8%
Other values (199) 15294
42.4%
Uppercase Letter
ValueCountFrequency (%)
E 4
28.6%
N 4
28.6%
T 4
28.6%
F 1
 
7.1%
R 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 16
64.0%
. 7
28.0%
; 2
 
8.0%
Close Punctuation
ValueCountFrequency (%)
) 4946
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4943
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36073
78.3%
Common 9979
 
21.7%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4909
 
13.6%
3551
 
9.8%
2206
 
6.1%
2184
 
6.1%
1682
 
4.7%
1440
 
4.0%
1325
 
3.7%
1291
 
3.6%
1175
 
3.3%
1014
 
2.8%
Other values (200) 15296
42.4%
Common
ValueCountFrequency (%)
) 4946
49.6%
( 4943
49.5%
_ 36
 
0.4%
25
 
0.3%
/ 16
 
0.2%
. 7
 
0.1%
- 4
 
< 0.1%
; 2
 
< 0.1%
Latin
ValueCountFrequency (%)
E 4
28.6%
N 4
28.6%
T 4
28.6%
F 1
 
7.1%
R 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36067
78.3%
ASCII 9993
 
21.7%
Compat Jamo 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 4946
49.5%
( 4943
49.5%
_ 36
 
0.4%
25
 
0.3%
/ 16
 
0.2%
. 7
 
0.1%
- 4
 
< 0.1%
E 4
 
< 0.1%
N 4
 
< 0.1%
T 4
 
< 0.1%
Other values (3) 4
 
< 0.1%
Hangul
ValueCountFrequency (%)
4909
 
13.6%
3551
 
9.8%
2206
 
6.1%
2184
 
6.1%
1682
 
4.7%
1440
 
4.0%
1325
 
3.7%
1291
 
3.6%
1175
 
3.3%
1014
 
2.8%
Other values (197) 15290
42.4%
None
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
2
50.0%
2
50.0%

처리방법
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct31
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
매립(민간관리형매립시설)
4058 
중간처분(일반소각)
489 
재활용(중간가공폐기물 제조)
 
99
중간처분(고형화)
 
90
중간처분(파쇄.분쇄)
 
65
Other values (26)
 
220

Length

Max length17
Median length13
Mean length12.529775
Min length1

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row매립(민간관리형매립시설)
2nd row매립(민간관리형매립시설)
3rd row매립(민간관리형매립시설)
4th row매립(민간관리형매립시설)
5th row매립(민간관리형매립시설)

Common Values

ValueCountFrequency (%)
매립(민간관리형매립시설) 4058
80.8%
중간처분(일반소각) 489
 
9.7%
재활용(중간가공폐기물 제조) 99
 
2.0%
중간처분(고형화) 90
 
1.8%
중간처분(파쇄.분쇄) 65
 
1.3%
재활용(파쇄.분쇄) 55
 
1.1%
재활용(연료·고형연료제품 제조) 30
 
0.6%
재활용(정제) 26
 
0.5%
재활용(기타) 24
 
0.5%
중간처분(고온소각) 16
 
0.3%
Other values (21) 69
 
1.4%

Length

2023-12-12T15:07:13.734144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매립(민간관리형매립시설 4058
78.5%
중간처분(일반소각 489
 
9.5%
제조 138
 
2.7%
재활용(중간가공폐기물 99
 
1.9%
중간처분(고형화 90
 
1.7%
중간처분(파쇄.분쇄 65
 
1.3%
재활용(파쇄.분쇄 55
 
1.1%
재활용(연료·고형연료제품 30
 
0.6%
재활용(정제 26
 
0.5%
재활용(기타 24
 
0.5%
Other values (23) 96
 
1.9%
Distinct1254
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:14.102797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length69
Mean length20.133041
Min length1

Characters and Unicode

Total characters101088
Distinct characters362
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)5.8%

Sample

1st row강원도 철원군 갈말읍 도창로 167 (동송산업(주))
2nd row강원도 철원군 갈말읍 도창로 167 (동송산업(주))
3rd row강원도 철원군 갈말읍 도창로 167 (동송산업(주))
4th row강원도 철원군 갈말읍 도창로 167 (동송산업(주))
5th row강원도 철원군 갈말읍 도창로 167 (동송산업(주))
ValueCountFrequency (%)
강원도 4078
 
17.6%
철원군 3902
 
16.9%
갈말읍 2047
 
8.9%
동송읍 690
 
3.0%
호국로 417
 
1.8%
서면 336
 
1.5%
도창로 320
 
1.4%
167 307
 
1.3%
철원읍 305
 
1.3%
4900 292
 
1.3%
Other values (1552) 10430
45.1%
2023-12-12T15:07:14.612715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19679
19.5%
8567
 
8.5%
4640
 
4.6%
4339
 
4.3%
4176
 
4.1%
4078
 
4.0%
1 3909
 
3.9%
3476
 
3.4%
3383
 
3.3%
2 2343
 
2.3%
Other values (352) 42498
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60107
59.5%
Space Separator 19679
 
19.5%
Decimal Number 16538
 
16.4%
Dash Punctuation 1424
 
1.4%
Open Punctuation 1315
 
1.3%
Close Punctuation 1315
 
1.3%
Connector Punctuation 489
 
0.5%
Uppercase Letter 158
 
0.2%
Other Punctuation 56
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8567
 
14.3%
4640
 
7.7%
4339
 
7.2%
4176
 
6.9%
4078
 
6.8%
3476
 
5.8%
3383
 
5.6%
2092
 
3.5%
2074
 
3.5%
1743
 
2.9%
Other values (309) 21539
35.8%
Uppercase Letter
ValueCountFrequency (%)
S 101
63.9%
P 7
 
4.4%
C 6
 
3.8%
I 4
 
2.5%
G 4
 
2.5%
B 4
 
2.5%
Q 4
 
2.5%
U 4
 
2.5%
R 4
 
2.5%
E 4
 
2.5%
Other values (9) 16
 
10.1%
Decimal Number
ValueCountFrequency (%)
1 3909
23.6%
2 2343
14.2%
3 1665
10.1%
4 1613
9.8%
0 1498
 
9.1%
7 1292
 
7.8%
9 1170
 
7.1%
6 1130
 
6.8%
5 1113
 
6.7%
8 805
 
4.9%
Other Punctuation
ValueCountFrequency (%)
: 44
78.6%
. 8
 
14.3%
/ 3
 
5.4%
@ 1
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 1307
99.4%
[ 8
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1307
99.4%
] 8
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
19679
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1424
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 489
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60107
59.5%
Common 40821
40.4%
Latin 160
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8567
 
14.3%
4640
 
7.7%
4339
 
7.2%
4176
 
6.9%
4078
 
6.8%
3476
 
5.8%
3383
 
5.6%
2092
 
3.5%
2074
 
3.5%
1743
 
2.9%
Other values (309) 21539
35.8%
Common
ValueCountFrequency (%)
19679
48.2%
1 3909
 
9.6%
2 2343
 
5.7%
3 1665
 
4.1%
4 1613
 
4.0%
0 1498
 
3.7%
- 1424
 
3.5%
( 1307
 
3.2%
) 1307
 
3.2%
7 1292
 
3.2%
Other values (12) 4784
 
11.7%
Latin
ValueCountFrequency (%)
S 101
63.1%
P 7
 
4.4%
C 6
 
3.8%
I 4
 
2.5%
G 4
 
2.5%
B 4
 
2.5%
Q 4
 
2.5%
U 4
 
2.5%
R 4
 
2.5%
E 4
 
2.5%
Other values (11) 18
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60107
59.5%
ASCII 40981
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19679
48.0%
1 3909
 
9.5%
2 2343
 
5.7%
3 1665
 
4.1%
4 1613
 
3.9%
0 1498
 
3.7%
- 1424
 
3.5%
( 1307
 
3.2%
) 1307
 
3.2%
7 1292
 
3.2%
Other values (33) 4944
 
12.1%
Hangul
ValueCountFrequency (%)
8567
 
14.3%
4640
 
7.7%
4339
 
7.2%
4176
 
6.9%
4078
 
6.8%
3476
 
5.8%
3383
 
5.6%
2092
 
3.5%
2074
 
3.5%
1743
 
2.9%
Other values (309) 21539
35.8%
Distinct1183
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
2023-12-12T15:07:14.959208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length72
Mean length18.981279
Min length1

Characters and Unicode

Total characters95305
Distinct characters322
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique397 ?
Unique (%)7.9%

Sample

1st row강원도 철원군 갈말읍 토성리 229
2nd row강원도 철원군 갈말읍 토성리 229
3rd row강원도 철원군 갈말읍 토성리 229
4th row강원도 철원군 갈말읍 토성리 229
5th row강원도 철원군 갈말읍 토성리 229
ValueCountFrequency (%)
강원도 3755
17.6%
철원군 3580
 
16.7%
갈말읍 1957
 
9.2%
지포리 572
 
2.7%
동송읍 560
 
2.6%
신철원리 430
 
2.0%
서면 429
 
2.0%
토성리 325
 
1.5%
229 307
 
1.4%
군탄리 293
 
1.4%
Other values (1581) 9177
42.9%
2023-12-12T15:07:15.491518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22411
23.5%
8189
 
8.6%
4329
 
4.5%
4083
 
4.3%
4020
 
4.2%
3863
 
4.1%
3841
 
4.0%
3063
 
3.2%
- 3012
 
3.2%
1 2717
 
2.9%
Other values (312) 35777
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52870
55.5%
Space Separator 22411
23.5%
Decimal Number 16501
 
17.3%
Dash Punctuation 3012
 
3.2%
Close Punctuation 135
 
0.1%
Open Punctuation 135
 
0.1%
Other Punctuation 107
 
0.1%
Uppercase Letter 96
 
0.1%
Connector Punctuation 28
 
< 0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8189
15.5%
4329
 
8.2%
4083
 
7.7%
4020
 
7.6%
3863
 
7.3%
3841
 
7.3%
3063
 
5.8%
1961
 
3.7%
1961
 
3.7%
940
 
1.8%
Other values (267) 16620
31.4%
Uppercase Letter
ValueCountFrequency (%)
P 18
18.8%
G 14
14.6%
O 10
10.4%
E 5
 
5.2%
S 5
 
5.2%
Q 4
 
4.2%
R 4
 
4.2%
B 4
 
4.2%
T 4
 
4.2%
I 4
 
4.2%
Other values (11) 24
25.0%
Decimal Number
ValueCountFrequency (%)
1 2717
16.5%
4 2115
12.8%
2 2100
12.7%
5 1553
9.4%
9 1523
9.2%
8 1458
8.8%
3 1352
8.2%
7 1326
8.0%
0 1240
7.5%
6 1117
6.8%
Other Punctuation
ValueCountFrequency (%)
: 100
93.5%
. 4
 
3.7%
@ 3
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
m 6
66.7%
p 2
 
22.2%
a 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 124
91.9%
] 11
 
8.1%
Open Punctuation
ValueCountFrequency (%)
( 124
91.9%
[ 11
 
8.1%
Space Separator
ValueCountFrequency (%)
22411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3012
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52870
55.5%
Common 42330
44.4%
Latin 105
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8189
15.5%
4329
 
8.2%
4083
 
7.7%
4020
 
7.6%
3863
 
7.3%
3841
 
7.3%
3063
 
5.8%
1961
 
3.7%
1961
 
3.7%
940
 
1.8%
Other values (267) 16620
31.4%
Latin
ValueCountFrequency (%)
P 18
17.1%
G 14
13.3%
O 10
 
9.5%
m 6
 
5.7%
E 5
 
4.8%
S 5
 
4.8%
Q 4
 
3.8%
R 4
 
3.8%
B 4
 
3.8%
T 4
 
3.8%
Other values (14) 31
29.5%
Common
ValueCountFrequency (%)
22411
52.9%
- 3012
 
7.1%
1 2717
 
6.4%
4 2115
 
5.0%
2 2100
 
5.0%
5 1553
 
3.7%
9 1523
 
3.6%
8 1458
 
3.4%
3 1352
 
3.2%
7 1326
 
3.1%
Other values (11) 2763
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52870
55.5%
ASCII 42435
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22411
52.8%
- 3012
 
7.1%
1 2717
 
6.4%
4 2115
 
5.0%
2 2100
 
4.9%
5 1553
 
3.7%
9 1523
 
3.6%
8 1458
 
3.4%
3 1352
 
3.2%
7 1326
 
3.1%
Other values (35) 2868
 
6.8%
Hangul
ValueCountFrequency (%)
8189
15.5%
4329
 
8.2%
4083
 
7.7%
4020
 
7.6%
3863
 
7.3%
3841
 
7.3%
3063
 
5.8%
1961
 
3.7%
1961
 
3.7%
940
 
1.8%
Other values (267) 16620
31.4%

업무구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size39.4 KiB
지정폐기물
4720 
사업장일반폐기물
 
301

Length

Max length8
Median length5
Mean length5.1798447
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정폐기물
2nd row지정폐기물
3rd row지정폐기물
4th row지정폐기물
5th row지정폐기물

Common Values

ValueCountFrequency (%)
지정폐기물 4720
94.0%
사업장일반폐기물 301
 
6.0%

Length

2023-12-12T15:07:15.647270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:07:15.744221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정폐기물 4720
94.0%
사업장일반폐기물 301
 
6.0%

Correlations

2023-12-12T15:07:15.818542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 종류처리방법업무구분
폐기물 종류1.0000.9770.999
처리방법0.9771.0000.894
업무구분0.9990.8941.000
2023-12-12T15:07:15.938781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법업무구분
처리방법1.0000.816
업무구분0.8161.000
2023-12-12T15:07:16.033643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법업무구분
처리방법1.0000.816
업무구분0.8161.000

Missing values

2023-12-12T15:07:09.731508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:07:09.860994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

상호신고일폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분
0와이비건설㈜2021 년04 월27 일흩날릴 우려가 없는 폐석면(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
1와이비건설㈜2021 년04 월27 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
2와이비건설㈜2021 년04 월27 일흩날릴 우려가 없는 폐석면(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
3와이비건설㈜2021 년04 월27 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
4와이비건설㈜2021 년04 월27 일흩날릴 우려가 없는 폐석면(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
5와이비건설㈜2021 년04 월27 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
6와이비건설㈜2021 년04 월27 일흩날릴 우려가 없는 폐석면(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
7와이비건설㈜2021 년04 월27 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
8와이비건설㈜2021 년04 월27 일흩날릴 우려가 없는 폐석면(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
9와이비건설㈜2021 년04 월27 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경(주)이앤컴퍼니구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물
상호신고일폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분
501115사단육군제7881부대2008 년10 월31 일폐타이어대한통운(주)쌍용양회공업(주)재활용(파쇄.분쇄)강원도 철원군 갈말읍 문혜리 372-1사업장일반폐기물
5012(주)그린필드2008 년09 월25 일무기성오니류드림월드개발_ 성림이엔티세명기업사중간처분(일반소각)강원도 철원군 갈말읍 삼부연로 51강원도 철원군 갈말읍 신철원리 649사업장일반폐기물
5013철원군청2008 년09 월17 일폐합성수지류(주)지엠모비스(주)지엠모비스중간처분(일반소각)강원도 철원군 김화읍 운장리사업장일반폐기물
5014(주)대명종합건설2008 년08 월22 일생활폐기물(주)청송산업개발(주)청송산업개발재활용(파쇄.분쇄)강원도 철원군 김화읍 운장리사업장일반폐기물
5015개인2008 년04 월28 일사업장폐기물호수환경주식회사제이에이치개발주식회사재활용(기타)강원도 철원군 갈말읍 삼부연로 51강원도 철원군 갈말읍 신철원리 649사업장일반폐기물
5016철원군(환경수도과)2007 년11 월26 일정수처리오니(무기성)자가환경자원사업소재활용(파쇄.분쇄)강원도 철원군 서면 자등리사업장일반폐기물
5017신안종합건설2007 년11 월01 일폐목재류동송산업(주)동송산업(주)중간처분(파쇄.분쇄)강원도 철원군 갈말읍 문혜리 1206-6사업장일반폐기물
5018(주)초원육가공2007 년10 월24 일폐콘크리트(주)건용환경개발(주)건용환경개발중간처분(파쇄.분쇄)강원도 철원군 갈말읍 문혜리 1206-6사업장일반폐기물
5019(주)초원육가공2007 년10 월24 일폐벽돌(주)건용환경개발(주)건용환경개발중간처분(일반소각)강원도 철원군 갈말읍 문혜리 1206-6사업장일반폐기물
5020(주)초원육가공2007 년10 월24 일폐합성수지류(주)토성환경(주)이알지서비스매립(관리형매립시설)강원도 철원군 갈말읍 삼부연로 36강원도 철원군 갈말읍 신철원리 644사업장일반폐기물

Duplicate rows

Most frequently occurring

상호신고일폐기물 종류운반자처리업소명처리방법사업장도로명주소사업장지번주소업무구분# duplicates
147동림환경건설(주)2013 년04 월24 일건조고형물의 함량을 기준으로 하여 석면이 1퍼센트 이상 함유된 제품ㆍ설비(뿜칠로 사용된 것을 포함한다) 등의 해체ㆍ제거 시 발생되는 것(주)황소(주)티에스케이그린바이로매립(민간관리형매립시설)강원도 영월군 영월읍 중리1길 108강원도 영월군 영월읍 덕포리 505-11지정폐기물18
43(주)대양건설2020 년04 월22 일흩날릴 우려가 없는 폐석면하나그린(주)에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 명성로112번길 7강원도 철원군 갈말읍 신철원리 958-4지정폐기물16
42(주)대양건설2020 년04 월22 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등하나그린(주)에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 명성로112번길 7강원도 철원군 갈말읍 신철원리 958-4지정폐기물14
165와이비건설(주)2019 년05 월24 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물14
166와이비건설(주)2019 년05 월24 일흩날릴 우려가 없는 폐석면(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 도창로 167 (동송산업(주))강원도 철원군 갈말읍 토성리 229지정폐기물14
103강원시설물유지관리(주)2019 년05 월29 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 호국로 4900강원도 철원군 갈말읍 지포리 478-4지정폐기물13
104강원시설물유지관리(주)2019 년05 월29 일흩날릴 우려가 없는 폐석면(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 호국로 4900강원도 철원군 갈말읍 지포리 478-4지정폐기물13
111강원시설물유지관리(주)2019 년09 월06 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 호국로 4900강원도 철원군 갈말읍 지포리 478-4지정폐기물13
112강원시설물유지관리(주)2019 년09 월06 일흩날릴 우려가 없는 폐석면(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 호국로 4900강원도 철원군 갈말읍 지포리 478-4지정폐기물13
119강원시설물유지관리㈜2019 년05 월20 일석면의 제거작업에 사용된 모든 비닐시트ㆍ방진마스크ㆍ작업복ㆍ집진필터 등(합)부흥환경에코시스템(주)구미매립(민간관리형매립시설)강원도 철원군 갈말읍 호국로 4900강원도 철원군 갈말읍 지포리 478-4지정폐기물13